As a part of my research about the quality of OSM data, I am running a small experiment to measure a user agreement about the classification of grass-lands. In my study, I am trying through learning to detect the entities which have a problematic classification. So, I would appreciate your participation. It takes only about 15 minutes.

very interesting..I already participated. The Problem ist h
that these keys often mix whats physically there and how it is used (like park…you might have grass and tress but the whole thing is still a park)
For visible objects I prefere landcover=..if i know how it is used the usage gets tagged seperatly.
Sadly the owner of the landcover proposal isn’t activly working on it :(